# Copyright 2024 PKU-Alignment Team, BAAI and the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
from typing import TYPE_CHECKING

from transformers.utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_import_structure = {
    'configuration_emu3': ['Emu3Config'],
    'tokenization_emu3': ['Emu3Tokenizer'],
    'processing_emu3': ['Emu3Processor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure['modeling_emu3'] = [
        'Emu3Model',
        'Emu3PretrainedModel',
        'Emu3ForCausalLM',
    ]

if TYPE_CHECKING:
    from .configuration_emu3 import Emu3Config
    from .processing_emu3 import Emu3Processor
    from .tokenization_emu3 import Emu3Tokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_emu3 import Emu3ForCausalLM, Emu3Model, Emu3PretrainedModel

else:
    import sys

    sys.modules[__name__] = _LazyModule(__name__, globals()['__file__'], _import_structure)
